Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Masatsugu Ichino"'
Publikováno v:
2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C).
Publikováno v:
2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C).
Publikováno v:
2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C).
Publikováno v:
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE).
Publikováno v:
Responsible AI and Analytics for an Ethical and Inclusive Digitized Society ISBN: 9783030854461
I3E
I3E
As social media has become widely used, fake news has become a serious problem. A representative countermeasure is fake news detection. However, this countermeasure is not sufficient because people using social media tend to ignore facts that contrad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08f0b4ad854b666e0f121c705a5ad1d6
https://doi.org/10.1007/978-3-030-85447-8_53
https://doi.org/10.1007/978-3-030-85447-8_53
Publikováno v:
iCAST
As social media has become more widely used, fake news has become an increasingly serious problem. The representative countermeasures against fake news are fake news detection and automated fact-checking. However, these countermeasures are not suffic
Time-aware multi-resolutional approach to re-identifying location histories by using social networks
Publikováno v:
QRS Companion
Identifying people from anonymous location histories is important for two purposes. i.e. to clarify privacy risks in using the location histories and to find evidence of who went where and when. Although linking with social network accounts is an exc
Publikováno v:
Journal of Information Processing. 26:518-528
Autor:
Eina, Hashimoto, Natsumi, Miyazaki, Masatsugu, Ichino, Tetsuji, Kuboyama, Isao, Echizen, Hiroshi, Yoshiura
Publikováno v:
情報処理学会論文誌. 58(12):1863-1874
ソーシャルネットワークのプライバシリスクの明確化および悪用の抑止のために,匿名のソーシャルネットワークアカウントを組織が保有する履歴書と照合する手法を述べる.提案手法
Publikováno v:
iCAST
Data on people’s daily activities are being collected as big data and then mined for corporate and public purposes. However, concern about privacy is the major obstacle to using such data. Although data anonymisation can mitigate the privacy risk,